Joint and collaborative representation with local adaptive convolution feature for face recognition with single sample per person

作者：

Highlights：

• Local particular and regular facial regions are exploited intentionally.

• Adaptive convolution features are learned for each local region.

• JCR-ACF well explores the distinctiveness and commonality of local regions.

摘要

•Local particular and regular facial regions are exploited intentionally.•Adaptive convolution features are learned for each local region.•JCR-ACF well explores the distinctiveness and commonality of local regions.

论文关键词：Joint and collaborative representation,Adaptive convolution feature,Sparse representation,Single sample face recognition

论文评审过程：Received 15 July 2016, Revised 12 November 2016, Accepted 28 December 2016, Available online 29 December 2016, Version of Record 12 March 2017.

论文官网地址：https://doi.org/10.1016/j.patcog.2016.12.028